Snapshot multi-PSF 3D single-molecule localization microscopy using deep learning

Hayato Ikoma; Yifan Peng; Michael Broxton; Gordon Wetzstein

doi:10.1364/COSI.2020.CW3B.3

Imaging and Applied Optics Congress
OSA Technical Digest (Optica Publishing Group, 2020),
paper CW3B.3
•https://doi.org/10.1364/COSI.2020.CW3B.3

Snapshot multi-PSF 3D single-molecule localization microscopy using deep learning

Hayato Ikoma, Yifan Peng, Michael Broxton, and Gordon Wetzstein

Computational Optical Sensing and Imaging 2020

Washington, DC United States
22–26 June 2020
ISBN: 978-1-943580-77-4

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Pupil Engineering (CW3B)

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H. Ikoma, Y. Peng, M. Broxton, and G. Wetzstein, "Snapshot multi-PSF 3D single-molecule localization microscopy using deep learning," in Imaging and Applied Optics Congress, OSA Technical Digest (Optica Publishing Group, 2020), paper CW3B.3.

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Abstract

We propose a neural point spread function (PSF) engineering approach for 3D single-molecule localization microscopy. Our approach jointly optimizes the PSFs of multiple optical paths in a microscope with a differentiable localization algorithm.

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